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Systems biology : mathematical modeling and model analysis / Andreas Kremling.

By: Kremling, Andreas.
Material type: TextTextSeries: Chapman & Hall/CRC mathematical and computational biology series.Publisher: Boca Raton : CRC Press, c2014Description: xv, 363 p. : illustrations ; 25 cm.ISBN: 9781466567894 (hardcover : alk. paper).Subject(s): Systems biology -- Mathematical models | Systems biologyDDC classification: 570.15118
Contents:
1. Introduction-- 2. Biological basics-- 3. Fundamentals of mathematical modeling-- 4. Model calibration and experimental design-- 5. Enzymatic conversion-- 6. Polymerization processes-- 7. Signal transduction and genetically regulated systems-- 8. General methods of model analysis-- 9. Aspects of control theory-- 10. Motifs in cellular networks-- 11. Metabolic engineering-- 12. Topological characteristics-- Appendix A collection of mathematical approaches-- Index.
Summary: This book is a rich resource of mathematical methods and approaches that can be utilized to analyze and understand biological systems. It will be particularly attractive to engineers and mathematicians, who want to learn the basics of modern biology in a condensed fashion and then apply the tools of their trades to relevant biological questions.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
570.15118 K92 (Browse shelf) Available 135670
Total holds: 0

Includes index.

Includes bibliographical references and index.

1. Introduction--
2. Biological basics--
3. Fundamentals of mathematical modeling--
4. Model calibration and experimental design--
5. Enzymatic conversion--
6. Polymerization processes--
7. Signal transduction and genetically regulated systems--
8. General methods of model analysis--
9. Aspects of control theory--
10. Motifs in cellular networks--
11. Metabolic engineering--
12. Topological characteristics--

Appendix A collection of mathematical approaches--
Index.

This book is a rich resource of mathematical methods and approaches that can be utilized to analyze and understand biological systems. It will be particularly attractive to engineers and mathematicians, who want to learn the basics of modern biology in a condensed fashion and then apply the tools of their trades to relevant biological questions.

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